| 2024 | IGARSS | Predicting Snow Water Equivalent in the Tuolumne River Basin, CA Through Time Series Forecasting Using Deep-Learning. | Nicholas Pinder, Alicia Joseph, Gabriela Himmele, Evi Ofekeze, Aditya Jain, Kari Espada, Carrie Vuyovich |
| 2024 | IGARSS | Using Unsupervised Machine Learning Methods and the Nasa Snowex Swesarr Instrument to Study How Snow Water Equivalent is Changing with Climate Change. | Gabriela Himmele, Alicia Joseph, Evi Ofekeze, Nicholas Pinder, Ryan Miller, Aditya Jain, Carrie Vuyovich, Kari Espada |
| 2024 | IGARSS | Utilizing Machine Learning and Anomaly Detection to Detect Skewed SWESARR Data and Understand How Snow Water Equivalent Changes Spatially. | Aditya Jain, Alicia Joseph, Gabriela Himmele, Nicholas Pinder, Evi Ofekeze, Carrie Vuyovich, Kari Espada, Joy Conway, Ryan Miller |
| 2024 | IGARSS | Integrating Early Career Stem Research Through Machine Learning by the NASA Climate Change Research Initiative (CCRI). | Alicia Joseph, Gabriela Himmele, Matthew Pearce, Nicholas Pinder, Aditya Jain, Kari Espada, Joy Conway, Megan Mason, Carrie Vuyovich |
| 2023 | IGARSS | Using Phase-Delay Approaches to Estimate Snow Properties: A Comparison of Airborne L-Band InSAR and Ground-Based 6-18 GHz FMCW Radar Observations During the NASA SnowEx 2020 Grand Mesa Campaign. | Hans-Peter Marshall, Scott Storms, Elias Deeb, Rick Forster, Carrie Vuyovich, Kelly Elder, Mike Durand, Christopher A. Hiemstra |